Senior AI Engineer (Generative AI)

Location:
Bangalore, India (Hybrid) •
Experience:
4–5 years

About Yarnit

Yarnit is building the future of
Agentic AI
— where autonomous, context-aware AI systems transform how enterprises strategize, create, and operate. Our multi-agent orchestration framework powers enterprise-grade copilots and autonomous workflows across marketing, commerce, and industrial domains.

Job Description

You will lead the development of multi-agent AI systems and advanced generative AI solutions across Yarnit’s platform and client deployments.

Key Responsibilities
Design and develop production-grade
multi-agent
systems (planning, tools, memory, evaluation).
Architect
advanced RAG
end-to-end (using
vector
,
SQL
, or
knowledge graph
approaches).
Build agent orchestration frameworks and prompt engineering tooling with tracing/observability.
Develop semantic search and retrieval pipelines; maintain data freshness and evaluation loops.
Implement LLM architectures and fine-tuning (e.g., PEFT/LoRA) with alignment/safety practices.




Collaborate with product and client teams to deliver solutions from design to deployment.

Required Skills & Qualifications (Must-have)
4–6 years
of skilled experience building
Generative AI
applications with LLMs.
Hands-on, production experience with multi-agent frameworks
(e.g., Microsoft Agent Framework, Autogen, LangGraph, CrewAI, LangChain Agents).
Expert Python
and solid software architecture/testing practices.
Solid
data science
foundation with
pandas
for analysis, feature prep, and evaluation.
Proven delivery of
advanced RAG
(vector retrieval,
SQL agents
for grounded queries, and
KG-based
retrieval where appropriate).
Cloud experience (AWS/GCP/Azure),
containerization
(Docker), and orchestration (Kubernetes/Batch).

Preferred Qualifications
Experience with
multimodal
models (text/image/audio) and tool-using VLMs.
Practical exposure to
knowledge graphs
(basic modeling/querying) in retri

📌 Senior Ai Engineer Bengaluru
🏢 Yarnit
📍 Bengaluru